System and method for identifying object information in image or video data

A method for identifying a product in an image and outputting stock keeping units of the product, comprising

• receiving an input image, via application programming interface from a recording device or an external database;
• generating an output characterizing an object presented within the image, via an object detection component of a first neural network in a data analytics system;
• receiving the output generated by the first neural network, via a second neural network;
• processing the output, via an object classification component of the second neural network in the data analytics system, to determine hierarchical classification categories comprising a first level classification category of the object, a second level classification category of the object and a third level classification category of the object;
• generating a descriptor of the object based on at least one of the first level classification category, the second level classification category and the third level classification category of the object, via the data analytics system;
• and
• outputting the descriptor of the object, via a standard dashboard.

A system for identifying a product in an image and outputting stock keeping units of the product, comprising:

• a database server executed by one or more storage devices for storing image data comprising real-time inventory images and historical images of each product type;
• a data analytics system executed by one or more computers;
• and
• a standard dashboard;
• wherein the data analytics system comprises instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising:
• receiving an input image, via application programming interface from a recording device or an external database;
• generating an output characterizing an object presented within the image, via an object detection component of a first neural network in the data analytics system;
• generating a first descriptor for the object based on the output, via the first neural network in the data analytics system;
• receiving the output and the first descriptor generated by the first neural network, via a second neural network;
• processing the output, via an object classification component of the second neural network in the data analytics system, to determine hierarchical classification categories comprising a first level classification category of the object, a second level classification category of the object and a third level classification category of the object;
• and
• generating a second descriptor of the object based on at least one of the first level classification category, the second level classification category and the third level classification category of the object, via the data analytics system;
• and
• wherein the standard dashboard is configured to output the first and second descriptor of the object.